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  1. A Bayesian Approach for Task-Specific Next-Best-View Selection with Uncertain Geometry

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  2. Proximal Projection for Doubly Sparse Regularized Models

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  3. Gated Multimodal Learning for Interpretable Property Energy Performance Prediction and Retrofit Scenario Analysis

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  4. UniPool: A Globally Shared Expert Pool for Mixture-of-Experts

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  5. Verifier-Backed Hard Problem Generation for Mathematical Reasoning

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  6. Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML

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  7. Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less

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  8. When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels

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  9. Superintelligent Retrieval Agent: The Next Frontier of Information Retrieval

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  10. Inductive Venn-Abers and related regressors

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  11. Edge-specific signal propagation on mature chromophore-region 3D mechanism graphs for fluorescent protein quantum-yield prediction

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  12. Concept-Based Abductive and Contrastive Explanations for Behaviors of Vision Models

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  13. Crafting Reversible SFT Behaviors in Large Language Models

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  14. Hybrid Quantum-Classical GANs for the Generation of Adversarial Network Flows

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  15. LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation

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  16. PianoCoRe: Combined and Refined Piano MIDI Dataset

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  17. When and Why SignSGD Outperforms SGD: A Theoretical Study Based on $ell_1$-norm Lower Bounds

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  18. Online Bayesian Calibration under Gradual and Abrupt System Changes

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  19. The Structural Origin of Attention Sink: Variance Discrepancy, Super Neurons, and Dimension Disparity

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  20. Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent

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